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Assessing personalized medicines in Australia: A national framework for reviewing codependent technologies

机译:在澳大利亚评估个性化药物:审查相关技术的国家框架

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摘要

BACKGROUND: Since the mapping of the human genome in 2003, the development of biomarker targeted therapy and clinical adoption of "personalized medicine" has accelerated. Models for insurance subsidy of biomarker/test/drug packages ("codependent technologies" or technologies that work better together) are not well developed. Our aim was to create a framework to assess the safety, effectiveness, and cost-effectiveness of these technologies for a national coverage or reimbursement decision. METHODS: We extracted information from assessments of recent Australian reimbursement applications that concerned genetic tests and treatments to identify items and evidence gaps considered important to the decision-making process. Relevant international regulatory and reimbursement guidance documents were also reviewed. Items addressing causality theory were included to help explain the relationship between biomarker and treatment. The framework was reviewed by policy makers and technical experts, prior to a public consultation process. RESULTS: The framework consists of 5 components--context, clinical benefit, evidence translation, cost-effectiveness, and financial impact--and a checklist of 79 items. To determine whether the biomarker test, the drug, both, or neither should be subsidized, we considered it crucial to identify whether the biomarker is a treatment effect modifier or a prognostic factor. To aid in this determination, the framework explicitly allows the linkage of different types of evidence to examine whether targeting the biomarker varies the likely clinical benefit of the drug, and if so, to what extent. CONCLUSIONS: The first national framework to assess personalized medicine for coverage or reimbursement decisions has been developed and introduced and may be a suitable model for other health systems.
机译:背景:自2003年绘制人类基因组图以来,针对生物标志物的靶向疗法和“个性化药物”的临床应用都在加速发展。生物标志物/测试/药品包装的保险补贴模型(“相互依赖的技术”或更好地协同工作的技术)尚未完善。我们的目标是创建一个框架,以评估这些技术的安全性,有效性和成本效益,以便在全国范围内做出覆盖或补偿的决定。方法:我们从最近的澳大利亚报销申请评估中提取了信息,这些申请涉及基因检测和治疗,以鉴定对决策过程重要的项目和证据缺口。还审查了有关的国际监管和偿付指导文件。涉及因果关系理论的项目也包括在内,以帮助解释生物标志物与治疗之间的关系。在进行公众咨询之前,政策制定者和技术专家对框架进行了审查。结果:该框架包含5个组成部分-上下文,临床受益,证据翻译,成本效益和财务影响-以及79项清单。为了确定是否应该对生物标志物测试,药物或两者均进行补贴,我们认为确定生物标志物是治疗效果修饰剂还是预后因素至关重要。为了帮助进行这种确定,该框架明确允许不同类型的证据进行关联,以检查靶向生物标志物是否会改变药物的可能临床益处,以及是否改变程度。结论:已经建立并引入了第一个评估个性化药物的覆盖率或费用决定的国家框架,该框架可能是其他卫生系统的合适模型。

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